AI Quality
Guardrail Testing
Test the safety and policy filters you already deployed — do they fire, do they over-block, and do they still work after a prompt or model change?
The problem
Teams turn on a safety layer — provider moderation, a policy prompt, a classifier — and assume it is on. Then a model upgrade changes what gets blocked, or the filter never sees the tool-call path. Users hit false refusals; attackers hit gaps.
Guardrail testing is QA for those controls. AI red teaming tries to bypass them. This page asks: for the cases you already listed, does the guardrail behave?
What’s at risk
- Filters that only wrap the chat UI, not the API or the agent
- Over-blocking that makes the product unusable for legitimate medical, legal, or security questions you intended to allow
- Under-blocking on the categories you promised to stop
- A new model that ignores the same system prompt
What we test
- Your written policy, turned into cases: allow / refuse / escalate
- Each surface: widget, API, batch jobs, tools
- Latency and failure mode when the guardrail service is down
- Consistency after prompt or model changes
- Logging: can you tell that a filter fired?
We do not write your legal policy. We test the one you hand us.
How we work
- Get the policy in plain language (what must never happen; what must still work)
- Build paired cases: should-block and should-allow
- Run them on every path that can produce model output
- Report misses and false positives separately
- Re-run after you change the filter stack
Related: hallucination testing for false facts, not policy. Parent: AI testing services.
Deliverables
- Allow/refuse case set mapped to your policy
- Misses and over-blocks with evidence
- A regression list for the next model bump
Suitable for
Products that already claim a safety or brand-voice layer and need to know if it is real.
FAQs
Can you certify us as “safe AI”?
No. We report how your current guards behaved on a defined set. That is not a certification.
Is this the same as content moderation QA?
If your “guardrail” is a moderation classifier, yes — we test that classifier in the product path. If you have no filter, start with policy and AI red teaming, not this page.
Talk to our QA team
Need this tested on a real product?
Tell us the AI surface, the next change you plan to ship, and what a bad answer would cost.